Pengzhi Gao

According to our database, Pengzhi Gao authored at least 29 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Hijacking JARVIS: Benchmarking Mobile GUI Agents against Unprivileged Third Parties.

Guohong Liu, Jialei Ye, Jiacheng Liu, Yuanchun Li, Wei Liu, Pengzhi Gao, Jian Luan, Yunxin Liu

CoRR, July, 2025

BacktrackAgent: Enhancing GUI Agent with Error Detection and Backtracking Mechanism.

Qinzhuo Wu, Pengzhi Gao, Wei Liu, Jian Luan

CoRR, May, 2025

Enhance Mobile Agents Thinking Process Via Iterative Preference Learning.

Kun Huang, Weikai Xu, Yuxuan Liu, Quandong Wang, Pengzhi Gao, Wei Liu, Jian Luan, Bin Wang, Bo An

CoRR, May, 2025

Mobile-Bench-v2: A More Realistic and Comprehensive Benchmark for VLM-based Mobile Agents.

Weikai Xu, Zhizheng Jiang, Yuxuan Liu, Pengzhi Gao, Wei Liu, Jian Luan, Yuanchun Li, Yunxin Liu, Bin Wang, Bo An

CoRR, May, 2025

A Simple Heuristic Finding Connectivity Bottleneck in Networks with Shared Risk Resource Groups.

Yizhe Tong, Pengzhi Gao, Peng Zhang

Proceedings of the Wireless Artificial Intelligent Computing Systems and Applications, 2025

Multilingual Machine Translation with Open Large Language Models at Practical Scale: An Empirical Study.

Menglong Cui, Pengzhi Gao, Wei Liu, Jian Luan, Bin Wang

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Doubly Constrained Fair Clustering for General p-Norms.

Lunhao Zhang, Pengzhi Gao, Peng Zhang

Proceedings of the Computing and Combinatorics, 2025

2024

Graph Convolutional Neural Network Based Emotion Recognition with Brain Functional Connectivity Network.

Pengzhi Gao, Xiangwei Zheng, Tao Wang, Yuang Zhang

Int. J. Crowd Sci., 2024

LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing.

Jiangshu Du, Yibo Wang, Wenting Zhao, Zhongfen Deng, Shuaiqi Liu, Renze Lou, Henry Peng Zou, Pranav Narayanan Venkit, Nan Zhang, Mukund Srinath, Haoran Ranran Zhang, Vipul Gupta, Yinghui Li, Tao Li, Fei Wang, Qin Liu, Tianlin Liu, Pengzhi Gao, Congying Xia, Chen Xing, Jiayang Cheng, Zhaowei Wang, Ying Su, Raj Sanjay Shah, Ruohao Guo, Jing Gu, Haoran Li, Kangda Wei, Zihao Wang, Lu Cheng, Surangika Ranathunga, Meng Fang, Jie Fu, Fei Liu, Ruihong Huang, Eduardo Blanco, Yixin Cao, Rui Zhang, Philip S. Yu, Wenpeng Yin

CoRR, 2024

Towards Boosting Many-to-Many Multilingual Machine Translation with Large Language Models.

Pengzhi Gao, Zhongjun He, Hua Wu, Haifeng Wang

CoRR, 2024

An Empirical Study of Consistency Regularization for End-to-End Speech-to-Text Translation.

Pengzhi Gao, Ruiqing Zhang, Zhongjun He, Hua Wu, Haifeng Wang

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Graph Convolutional Neural Network and Attention Mechanism based Emotion Classification.

Pengzhi Gao, Xiangwei Zheng, Gengyuan Guo, Yuang Zhang

Proceedings of the International Conference on Identification, 2024

Mixture of Diverse Size Experts.

Manxi Sun, Wei Liu, Jian Luan, Pengzhi Gao, Bin Wang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing.

Jiangshu Du, Yibo Wang, Wenting Zhao, Zhongfen Deng, Shuaiqi Liu, Renze Lou, Henry Peng Zou, Pranav Narayanan Venkit, Nan Zhang, Mukund Srinath, Haoran Zhang, Vipul Gupta, Yinghui Li, Tao Li, Fei Wang, Qin Liu, Tianlin Liu, Pengzhi Gao, Congying Xia, Chen Xing, Cheng Jiayang, Zhaowei Wang, Ying Su, Raj Sanjay Shah, Ruohao Guo, Jing Gu, Haoran Li, Kangda Wei, Zihao Wang, Lu Cheng, Surangika Ranathunga, Meng Fang, Jie Fu, Fei Liu, Ruihong Huang, Eduardo Blanco, Yixin Cao, Rui Zhang, Philip S. Yu, Wenpeng Yin

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Learning Multilingual Sentence Representations with Cross-lingual Consistency Regularization.

Pengzhi Gao, Liwen Zhang, Zhongjun He, Hua Wu, Haifeng Wang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

Improving Zero-shot Multilingual Neural Machine Translation by Leveraging Cross-lingual Consistency Regularization.

Pengzhi Gao, Liwen Zhang, Zhongjun He, Hua Wu, Haifeng Wang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Bi-SimCut: A Simple Strategy for Boosting Neural Machine Translation.

Pengzhi Gao, Zhongjun He, Hua Wu, Haifeng Wang

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Multimodal Emotion Recognition Using CNN-SVM with Data Augmentation.

Gengyuan Guo, Pengzhi Gao, Xiangwei Zheng, Cun Ji

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

Mixup Decoding for Diverse Machine Translation.

Jicheng Li, Pengzhi Gao, Xuanfu Wu, Yang Feng, Zhongjun He, Hua Wu, Haifeng Wang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Robust Low-Rank Tensor Recovery From Quantized and Corrupted Measurements.

Ren Wang, Tianqi Chen, Zhe Xu, Pengzhi Gao

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

A Data-Centric Framework for Composable NLP Workflows.

Zhengzhong Liu, Guanxiong Ding, Avinash Bukkittu, Mansi Gupta, Pengzhi Gao, Atif Ahmed, Shikun Zhang, Xin Gao, Swapnil Singhavi, Linwei Li, Wei Wei, Zecong Hu, Haoran Shi, Xiaodan Liang, Teruko Mitamura, Eric P. Xing, Zhiting Hu

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2020

2018

Low-Rank Matrix Recovery From Noisy, Quantized, and Erroneous Measurements.

Pengzhi Gao, Ren Wang, Meng Wang, Joe H. Chow

IEEE Trans. Signal Process., 2018

Dynamic Matrix Recovery from Partially Observed and Erroneous Measurements.

Pengzhi Gao, Meng Wang

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Missing Data Recovery for High-Dimensional Signals With Nonlinear Low-Dimensional Structures.

Pengzhi Gao, Meng Wang, Joe H. Chow, Matthew Berger, Lee M. Seversky

IEEE Trans. Signal Process., 2017

2016

Identification of Successive "Unobservable" Cyber Data Attacks in Power Systems Through Matrix Decomposition.

Pengzhi Gao, Meng Wang, Joe H. Chow, Scott G. Ghiocel, Bruce Fardanesh, George Stefopoulos, Michael P. Razanousky

IEEE Trans. Signal Process., 2016

Low-rank matrix recovery from quantized and erroneous measurements: Accuracy-preserved data privatization in power grids.

Pengzhi Gao, Ren Wang, Meng Wang, Joe H. Chow

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015

A Low-Rank Matrix Approach for the Analysis of Large Amounts of Power System Synchrophasor Data.

Meng Wang, Joe H. Chow, Pengzhi Gao, Xinyu Tony Jiang, Yu Xia, Scott G. Ghiocel, Bruce Fardanesh, George Stefopoulos, Yutaka Kokai, Nao Saito, Michael P. Razanousky

Proceedings of the 48th Hawaii International Conference on System Sciences, 2015

Matrix completion with columns in union and sums of subspaces.

Pengzhi Gao, Meng Wang, Joe H. Chow, Matthew Berger, Lee M. Seversky

Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

2014

Identification of "unobservable" cyber data attacks on power grids.

Meng Wang, Pengzhi Gao, Scott G. Ghiocel, Joe H. Chow, Bruce Fardanesh, George Stefopoulos, Michael P. Razanousky

Proceedings of the 2014 IEEE International Conference on Smart Grid Communications, 2014